An Empathetic Approach to Faculty Development in the Era of AI

Alternative Title

An Empathetic Approach to Faculty Development in the Era of Artificial Intelligence (AI)

Contributor

University of Central Florida. Faculty Center for Teaching and Learning; University of Central Florida. Division of Digital Learning; Teaching and Learning with AI Conference (2024 : Orlando, Fla.)

Location

Space Coast

Start Date

24-7-2024 9:00 AM

End Date

24-7-2024 9:30 AM

Publisher

University of Central Florida Libraries

Keywords:

Faculty development; Artificial intelligence; Instructional design; Assessment methods; Empathy in education

Subjects

Artificial intelligence--Educational applications; Artificial intelligence--Study and teaching (Higher); Empathy--Study and teaching; Universities and colleges--Faculty--Attitudes; Educational technology--Psychological aspects

Description

At the University of Alaska Fairbanks, instructional designers from the Center for Teaching and Learning made an effort to build faculty confidence by giving hands-on experience with AI tools, offering alternative ways to assess students, and more importantly creating a space where instructors who care about teaching and learning can explore what will work in this new AI landscape. This session shares specific lessons from a series of publications, workshops and committee work at the University of Alaska Fairbanks. The common thread through the year was that faculty were treated with respect and an understanding that changing the particulars of assessment is disruptive and difficult.

Language

eng

Type

Presentation

Rights Statement

All Rights Reserved

Audience

Faculty, Instructional designers

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Jul 24th, 9:00 AM Jul 24th, 9:30 AM

An Empathetic Approach to Faculty Development in the Era of AI

Space Coast

At the University of Alaska Fairbanks, instructional designers from the Center for Teaching and Learning made an effort to build faculty confidence by giving hands-on experience with AI tools, offering alternative ways to assess students, and more importantly creating a space where instructors who care about teaching and learning can explore what will work in this new AI landscape. This session shares specific lessons from a series of publications, workshops and committee work at the University of Alaska Fairbanks. The common thread through the year was that faculty were treated with respect and an understanding that changing the particulars of assessment is disruptive and difficult.